Paper Citation Record · LEDGER

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2511.11949.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2511.11949 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:11:54.423714Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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unresolved43
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External citation measurements

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Outbound references

Observation b8d903df-6602-4b88-ad19-4a704dff2bd8 · outbound

This paper cites Battery-aware cyclic scheduling in energy- harvesting federated learning,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Battery-aware cyclic scheduling in energy- harvesting federated learning,

Reference 1

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Observation 17b69ee5-80ed-4687-86e4-dc471c4f6c8c · outbound

This paper cites Federated Optimization: Distributed Machine Learning for On-Device Intelligence.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 2

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Observation 1351f182-8c6d-4a78-a29e-6594331dfaa8 · outbound

This paper cites Prabakeran, T.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Prabakeran, T

Reference 3

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Observation 64c50ef5-0eb1-4273-89d0-583dcd05cbae · outbound

This paper cites Green federated learning,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Green federated learning,

Reference 4

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Observation d094172d-ece6-4b01-94b5-98c331edb5bb · outbound

This paper cites Green federated learning: A new era of green aware AI,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Green federated learning: A new era of green aware AI,

Reference 5

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Observation e3d7b37a-5c67-42cd-9ea9-bcfab4879f36 · outbound

This paper cites Energy-efficient federated learning with resource allocation for green IoT edge intelligence in B5G,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Energy-efficient federated learning with resource allocation for green IoT edge intelligence in B5G,

Reference 6

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Observation bd9914bf-1544-472f-9bc1-f794a5405822 · outbound

This paper cites FedZero: Leveraging renewable excess energy in federated learning,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling FedZero: Leveraging renewable excess energy in federated learning,

Reference 7

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Observation d019f452-4bda-400f-9cc5-c048a2540415 · outbound

This paper cites FedBiF: Communication-efficient federated learning via bits freezing,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling FedBiF: Communication-efficient federated learning via bits freezing,

Reference 8

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Observation fe519779-89b3-4e92-93c6-1d994c894db6 · outbound

This paper cites FAST: Enhancing federated learning through adaptive data sampling and local training,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling FAST: Enhancing federated learning through adaptive data sampling and local training,

Reference 9

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Observation 71c08986-0d41-40ba-9f1b-1794dec01857 · outbound

This paper cites FedALT: Federated fine- tuning through adaptive local training with rest-of-world LoRA,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling FedALT: Federated fine- tuning through adaptive local training with rest-of-world LoRA,

Reference 10

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Observation 8881ff35-4386-4cc5-9071-3498e9e784a8 · outbound

This paper cites Energy, Scalability, Data and Security in Massive IoT: Current Landscape and Future Directions.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Energy, Scalability, Data and Security in Massive IoT: Current Landscape and Future Directions

Reference 11

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Observation 4f183308-d763-4df4-9d1e-30ceb9df98f8 · outbound

This paper cites Optimizing resource allocation in UA V-assisted ultra-dense networks for enhanced performance and security,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Optimizing resource allocation in UA V-assisted ultra-dense networks for enhanced performance and security,

Reference 12

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Observation 10a9a8eb-34a4-4b78-987e-ac336ab08b4f · outbound

This paper cites Federated learning over energy harvesting wireless networks,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Federated learning over energy harvesting wireless networks,

Reference 13

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Observation 2aa39022-6230-47bb-9ece-ba6f758626fe · outbound

This paper cites Online optimization for over-the-air federated learning with energy harvest- ing,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Online optimization for over-the-air federated learning with energy harvest- ing,

Reference 14

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Observation 4e4b2296-2f9b-42c4-a2b0-42d2045adb0b · outbound

This paper cites Federated learning with energy harvesting devices,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Federated learning with energy harvesting devices,

Reference 15

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Observation 86790161-8584-4240-bb85-58f628d7d1b6 · outbound

This paper cites Fast federated learning in the presence of arbitrary device unavailability,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Fast federated learning in the presence of arbitrary device unavailability,

Reference 16

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Observation cf9871c3-4ab3-4b35-a263-6f10cd158efa · outbound

This paper cites On the convergence of federated averaging with cyclic client participation,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling On the convergence of federated averaging with cyclic client participation,

Reference 17

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Observation 0650a883-cfeb-4467-ba98-443096a6411f · outbound

This paper cites Adaptive Biased User Scheduling for Heterogeneous Wireless Federate Learning Network.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Adaptive Biased User Scheduling for Heterogeneous Wireless Federate Learning Network

Reference 18

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Observation 3f1e871e-2f3a-4448-ba41-10afb9d817eb · outbound

This paper cites A framework for sustainable federated learning,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling A framework for sustainable federated learning,

Reference 19

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Observation bfa5dcd5-67b7-4036-ab65-0394e9af6b6c · outbound

This paper cites Energy-efficient federated edge learning with streaming data: A lyapunov optimization approach,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Energy-efficient federated edge learning with streaming data: A lyapunov optimization approach,

Reference 20

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Observation 018da98c-7a0e-411f-80f5-d1d1fe2dbffa · outbound

This paper cites Over-the-air computation enabled semi-asynchronous wireless federated learning,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Over-the-air computation enabled semi-asynchronous wireless federated learning,

Reference 21

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Observation 1e478a8d-8371-439e-91cf-3487a364dd06 · outbound

This paper cites Power of redundancy: Surplus client scheduling for federated learning against user uncertainties,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Power of redundancy: Surplus client scheduling for federated learning against user uncertainties,

Reference 22

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Observation c23e8656-517d-49c3-a83f-b1d1d11da7c7 · outbound

This paper cites Joint client selection and bandwidth allocation algorithm for federated learning,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Joint client selection and bandwidth allocation algorithm for federated learning,

Reference 23

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Observation 242d8a48-d723-4b64-9312-6fd866a6e819 · outbound

This paper cites Age of information based client selection for wireless federated learning with diversified learning capabilities,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Age of information based client selection for wireless federated learning with diversified learning capabilities,

Reference 24

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Observation f4b5efa0-65bc-48f5-968a-8b5a4d2ee258 · outbound

This paper cites An incentive auction for heterogeneous client selection in federated learning,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling An incentive auction for heterogeneous client selection in federated learning,

Reference 25

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Observation 85fc46c3-2e8d-4a5f-b5bf-df2b21ac0ebc · outbound

This paper cites Knowledge-aided federated learning for energy-limited wireless networks,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Knowledge-aided federated learning for energy-limited wireless networks,

Reference 26

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Observation 34099130-e21c-4328-95ed-a2b7c2f82a9b · outbound

This paper cites Federated learning under intermittent client availability and time-varying communication con- straints,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Federated learning under intermittent client availability and time-varying communication con- straints,

Reference 27

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Observation 8feee5c9-a94b-48a3-9e91-e69b43fc018c · outbound

This paper cites On federated learning with energy har- vesting clients,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling On federated learning with energy har- vesting clients,

Reference 28

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Observation bb85c3b9-66aa-4609-ad53-995cfb9eb26f · outbound

This paper cites Update estimation and scheduling for over-the-air federated learning with energy harvesting devices,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Update estimation and scheduling for over-the-air federated learning with energy harvesting devices,

Reference 29

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Observation 9e47f849-93d5-4230-8b45-6edad21d7c67 · outbound

This paper cites Federated Learning-Distillation Alternation for Resource-Constrained IoT.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Federated Learning-Distillation Alternation for Resource-Constrained IoT

Reference 30

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Observation 358764bb-ec83-4413-8412-0511420c5a4a · outbound

This paper cites Any- costFL: Efficient on-demand federated learning over heterogeneous edge devices,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Any- costFL: Efficient on-demand federated learning over heterogeneous edge devices,

Reference 31

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Observation 92f514da-86ed-40d3-93d9-3e406c72e493 · outbound

This paper cites Federated learning under periodic client participation and heterogeneous data: A new communication-efficient algorithm and analysis,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Federated learning under periodic client participation and heterogeneous data: A new communication-efficient algorithm and analysis,

Reference 32

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This paper cites Communication-efficient local SGD with age-based worker selection,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Communication-efficient local SGD with age-based worker selection,

Reference 33

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This paper cites Clustered federated learning: Model-agnostic distributed multitask optimization under privacy con- straints,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Clustered federated learning: Model-agnostic distributed multitask optimization under privacy con- straints,

Reference 34

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This paper cites Dynamic clustering in federated learning,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Dynamic clustering in federated learning,

Reference 35

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Observation 6ef82633-5bb3-493b-b1b2-a6a8da3f7c5b · outbound

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Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Federated learning with soft cluster- ing,

Reference 36

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This paper cites An efficient framework for clustered federated learning,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling An efficient framework for clustered federated learning,

Reference 37

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Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Active client selection for clustered federated learning,

Reference 38

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Observation 6919e852-447e-4f81-9c5b-3ee6d7eb44de · outbound

This paper cites Energy harvesting sensor nodes: Survey and implications,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Energy harvesting sensor nodes: Survey and implications,

Reference 39

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Observation a3e7688f-84ea-496e-85ae-392d2ea9b5c0 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentral- ized Data,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Communication-Efficient Learning of Deep Networks from Decentral- ized Data,

Reference 40

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This paper cites FedSeq: A hybrid federated learning framework based on sequential in-cluster training,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling FedSeq: A hybrid federated learning framework based on sequential in-cluster training,

Reference 41

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Observation 01e9378f-04c4-4b45-b2a1-8e5864b14f75 · outbound

This paper cites A unified analysis of federated learning with arbi- trary client participation,.

Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling A unified analysis of federated learning with arbi- trary client participation,

Reference 42

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Observation 95408794-81f5-4c0b-8530-b03eb488d7b0 · outbound

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Computation-aware Energy-harvesting Federated Learning with Pipelined Cyclic Scheduling Unresolved cited work

Reference 43

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Pith citing papers

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